An image processing method performed by a processor and including detecting positions of plural vortex veins in a fundus image of an examined eye, and computing a center of distribution of the plural detected vortex vein positions.

Provided is an image processing apparatus configured to process an image of a fundus of an eye to accurately measure thicknesses of membranes that form a blood vessel wall of an eye. The image processing apparatus includes: an image acquiring unit configured to acquire an image of an eye; a vessel feature acquiring unit configured to acquire membrane candidate points that form an arbitrary wall of a blood vessel based on the acquired image; a cell identifying unit configured to identify a cell that forms the wall of the blood vessel based on the membrane candidate points; and a measuring position acquiring unit configured to identify a measuring position regarding the wall of the blood vessel based on a position of the identified cell.

The tomographic image capturing device of the present invention includes a tomographic image capturing means that scans measurement light on a subject's eye fundus (E) to capture tomographic images of the subject's eye fundus and an image processing means that compresses a picture of the captured tomographic images in a scan direction to generate a new tomographic picture. The tomographic image capturing means performs scan at a second scan pitch (P.sub.L) narrower than a first scan pitch (P.sub.H) to capture the tomographic images of the subject's eye fundus. The image processing means compresses the picture (B11) of the tomographic images captured at the second scan pitch (P.sub.L) in the scan direction to generate the new tomographic picture (B12). The measurement width in the scan direction of the new tomographic picture (B12) is a width of a picture corresponding to a measurement width in the scan direction of a tomographic picture (Bn (n=1 to 10)) obtained by scan at the first scan pitch (P.sub.H).

An ophthalmologic apparatus, includes: a first concave mirror and a second concave mirror having a concave surface-shaped first reflective surface and a concave surface-shaped second reflective surface; an SLO optical system configured to project light from an SLO light source onto a subject's eye via the first concave mirror and the second concave mirror, and to detect returning light from the subject's eye; a first optical scanner configured to deflect the light from the SLO light source to guide the light to the first reflective surface; a second optical scanner configured to deflect light reflected by the first reflective surface to guide the light to the second reflective surface; an OCT optical system including a third optical scanner, and configured to split light from an OCT light source into measurement light and reference light, to project the measurement light deflected by the third optical scanner onto the subject's eye, and to detect interference light between returning light of the measurement light from the subject's eye and the reference light; an optical path coupling member disposed between the first optical scanner and the first concave mirror, and combining an optical path of the SLO optical system and an optical path of the OCT optical system; and a correction unit configured to correct detection result of the interference light detected by the OCT optical system or an image formed based on the detection result.

System for customizing visual field (VF) tests uses a machine learning model (15) trained on retina images (12A, 12C, 12D), including optical coherence tomography (OCT), optical coherence tomography angiography (OCTA), fundus, and/or fluorescein angiography images. In operation, in preparation for administering a specific VF test (13) to a patient, a retina image of the patient is submitted to the present machine model, which responds by synthesizing a VF prediction for the patient. The synthesized VF may be used to optimize the specific VF test prior to administering it to the patient.

A method for determining a calibration factor in Doppler flowmetry velocity measurements in the living eye includes imaging the eye with Doppler flowmetry and processing data to obtain blood velocity, volume, and flow maps using Doppler flowmetry formulas that provide velocity as a mean frequency expressed in Hz, and volume and flow in arbitrary units. A selected blood vessel is probed with Doppler OCT to measure the absolute velocity of blood at that location expressed in mm/s to determine a calibration factor used to convert the velocity measured with Doppler flowmetry expressed in Hz to velocity expressed in mm/s.

In a corneal measurement system, an optical element focuses an excitation light to an area of corneal tissue at a selected depth. In response, a fluorescing agent applied to the cornea generates a fluorescence emission. An aperture of a pinhole structure selectively transmits the fluorescence emission from the area of corneal tissue at the selected depth. A detector captures the selected fluorescence emission transmitted by the aperture and communicates information relating to a measurement of the selected fluorescence emission captured by the detector. A controller receives the information from the detector and determines a measurement of the fluorescing agent in the area of corneal tissue at the selected depth. The system may include a scan mechanism that causes the optical element to scan the cornea at a plurality of depths, and the controller may determine a measurement of the fluorescing agent in the cornea as a function of depth.

An image display method executed by a processor comprises displaying a screen including a two-dimensional fundus image of an examined eye and a three-dimensional eyeball image of the examined eye, finding a second region in the three-dimensional eyeball image that corresponds to a first region specified in the two-dimensional fundus image, and displaying a mark indicating the second region in the three-dimensional eyeball image.

An optical system includes a lens unit configured to form a first intermediate image by using light from a light source, a first optical element configured to transmit the light from the first intermediate image and to move to rotationally scan a target, and a second optical element configured to guide the light from the first optical element to the target.

An ophthalmological image processing apparatus acquires a plurality of images of a subject eye photographed in a scanning-type imaging optical system, sets any one of the plurality of images as a template, sets corresponding points or corresponding regions between an image of the subject eye and the template at a plurality of positions of each of the image of the subject eye and the template, calculates a movement amount of each of the corresponding points or each of the corresponding regions, and corrects a distortion of the image of the subject eye with respect to the template based on the movement amount of each of the corresponding points or each of the corresponding regions.